Google DeepMind calls for U.S.-led AI standards body as security risks grow

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DeepMind calls for AI standards

Highlights

Google DeepMind chief Hassabis calls for a federally overseen U.S.-led AI standards body to test frontier models for security risks before release.
Proposal includes a FINRA-style public-private partnership with independent technical experts, substantial industry funding, and eventual mandatory model review for the U.S. market.
U.S. policymakers face increasing pressure to regulate as industry leaders advocate oversight and Chinese AI models from DeepSeek and Z.ai gain traction amid rising national security concerns.

Proposal for federally overseen AI testing

As reported by CNBC, Hassabis says the U.S. should spearhead a standards body to oversee frontier AI models and assess whether they pose serious security risks before release.

In a post on X on Tuesday, the Google DeepMind chief argues that a federally overseen public-private partnership could test new systems for threats including cyber abuse, bio risks and other harmful capabilities as artificial general intelligence advances. He says the U.S. is well placed to lead such a framework because of its economic and technical strength.

Hassabis proposes a structure similar to the Financial Industry Regulatory Authority, with independent technical experts and open-source representatives on the board. He says the body would need substantial funding, likely from industry, to attract top talent and secure enough computing power for large-scale model testing.

Under the proposal, frontier labs would initially share models voluntarily for review up to 30 days before release. That process would later become mandatory for deployment in the U.S. market if the system proves effective.

He also outlines potential tests for agentic AI, including checks for attempts to bypass safety guardrails, signs of deception, digital watermarking of AI-generated images and human-readable output tokens to help interpret model reasoning.

Policy pressure rises amid U.S.-China AI race

The push for stronger oversight comes as major AI developers and policymakers clash over how far regulation should go for leading models.

Hassabis' latest comments follow earlier calls from technology leaders for an American-led coalition on AI rules at a G7 meeting that includes U.S. President Donald Trump. OpenAI chief Sam Altman also supports a similar body, adding to broader industry pressure for a formal watchdog.

At the same time, tensions between government and AI companies are increasing. Anthropic has recently been in negotiations with officials after the Trump administration temporarily imposes export controls on an advanced model, while OpenAI also faces limits after the U.S. government initially requests restrictions on a new model rollout.

That debate is unfolding as Chinese AI developers such as DeepSeek and Z.ai gain traction with competitive model releases. With adoption of those systems growing among U.S. companies and AI costs rising, U.S. lawmakers are considering ways to curb the use of Chinese models, an issue the State Department says raises serious concerns.

In our earlier article, we covered Nvidia’s decision to sharply narrow the list of approved Asian customers allowed to buy its most advanced AI chips after stricter compliance checks. The move reflects Washington’s push to prevent restricted processors from being routed to China via third countries, increasing scrutiny of data-center operators and end users across key Asian hubs.

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